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RESEARCH

My research investigates the mechanics of structures, with an emphasis on metamaterials and origami-inspired structures. Combining theory, computation, and experiment, my work pursues structures with extreme and innovative properties such as wave steering and reconfigurability.

CURRENT RESEARCH
 

Waves in spatially graded metamaterials

Metamaterials are materials that derive their properties from an engineered small-scale structure, for example, based on repeating arrangements of beams, plates, or shells. By carefully designing their microstructure, unique properties can be achieved that are out of reach of natural materials, such as the ability to guide, focus, and forbid elastic waves.

The dynamics of periodic metamaterials (consisting of identical repeating units) have been well-studied. The manufacturable design space, however, is growing far beyond periodic architectures. Spatially graded metamaterials with smoothly varying unit cells offer an enormous design space compared to periodic architectures. This design space remains largely unexplored, primarily due to a lack of efficient computational tools for modeling and design of elastic waves in graded metamaterials.

This project aims to understand and manipulate wave propagation in spatially graded metamaterials to achieve unprecedented dynamic properties. To this end, we have developed ray tracing as an efficient forward modeling tool, taking inspiration from the well-developed ray theories of optics and seismology. Based on the efficiency and insights provided by ray theory, we are developing systematic inverse design methods for controlling wave propagation. This work paves the way for new applications from energy harvesting to mechanical signal processing to broadband vibration suppression.

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COLLABORATORS

PUBLICATIONS

C. Dorn, D.M. Kochmann, "Inverse design of graded phononic materials via ray tracing" Journal of Applied Physics, 2023. DOI, pdf

C. Dorn, D.M. Kochmann, "Conformally graded metamaterials for elastic wave guidance" Extreme Mechanics Letters, 2023. DOI,
pdf

C. Dorn, D.M. Kochmann, "Ray theory for elastic wave propagation in graded metamaterials" Journal of the Mechanics and Physics of Solids, 2022. DOI, pdf

PAST PROJECT

Origami-inspired reconfigurable structures

A reconfigurable structure is a structure capable of transforming its shape to change its functionality. Inspired by origami and kirigami (which allows cuts), folding offers a path to achieving shape changes that enable multi-functional structures in electronics, robotics, architecture and beyond.

 

The first part of my PhD work designed kirigami structures that can reconfigure between multiple target configurations. While most previous origami/kirigami synthesis methods design for a single target shape, we developed an approach for kirigami structures that can morph between many target curved surfaces. These patterns rely on many kinematic degrees of freedom (DOFs) to achieve drastic geometric changes. This opens doors to new multi-functional structures such as morphing antennas - which we demonstrated experimentally in collaboration with Prof. Ali Hajimiri's group at Caltech. However, due to their inherent flexibility, many-DOF structures present a challenge to implement as load-bearing engineering structures. 

 

To address this challenge, the second part of this work introduces the concept of multi-configuration rigidity. By embedding springs and unilateral constraints (e.g., contacts or cables) throughout a multi-DOF structure, multiple configurations are rigidly held by the prestress of the springs pushing against the unilateral constraints. This results in a structure capable of rigidly supporting finite loads in multiple configurations, allowing reconfiguration only upon application of a load above a critical magnitude. We developed a general theory and optimal design method for multi-configuration rigidity, which is also demonstrated experimentally.

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COLLABORATORS

Prof. Sergio Pellegrino, Caltech
Robert Lang, Lang Origami
Prof. Yang Li, Caltech/Wuhan University
Prof. Ali Hajimiri, Caltech
Elliott Williams, Caltech

PUBLICATIONS

C. Dorn, S. Pellegrino, "Multi-configuration rigidity: Theory for statically determinate structures"  International Journal of Solids and Structures, 2023. DOI


C. Dorn, R.J. Lang, and S. Pellegrino, "Kirigami tiled surfaces with multiple configurations" Proceedings of the Royal Society A, 2022. DOI, pdf, code


C. Dorn, Y. Li, S. Pellegrino, "Structures with multiple rigid configurations due to prestress and unilateral constraints" ASME IDETC, 2021. DOI, pdf


D.E. Williams, C. Dorn, S. Pellegrino, A. Hajimiri, "Origami-inspired shape-changing antenna" European Microwave Conference, 2021. DOI, pdf


C. Dorn, "Geometry synthesis and multi-configuration rigidity of reconfigurable structures" PhD Thesis, California Institute of Technology, 2021. DOI

PAST PROJECT

Magneto-active elastomers

Magnetorheological elastomers (MREs) are elastomers embedded with magnetic particles. When subject to a magnetic field, the particles try to align with the field causing the material to deform. Since the elastomer matrix is flexible, large deformations can be achieved by applying relatively small magnetic fields, which is appealing for devices such as sensors and soft robots.

The majority of previous MRE research has focused on material modeling or simple problem settings with uniform magnetic fields. In practical applications, however, complicated nonuniform magnetic fields are inevitable. This work developed a multi-physics finite element formulation to holistically model magneto-elastic materials, electromagnetic coils, and the surrounding air, which was shown to agree closely with experiments. This enables accurate modeling of a realistic problem setting that captures nonuniform magnetic fields produced by electromagnets and their interaction with MREs.

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COLLABORATORS

Prof. Kostas Danas, Ecole Polytechnique

Prof. Laurence Bodelot, Ecole Polytechnique

PUBLICATION

C. Dorn, L. Bodelot, and K. Danas, "Experiments and numerical implementation of a boundary value problem involving a magnetorheological elastomer layer subject to a non-uniform magnetic field" Journal of Applied Mechanics, 2021. DOI, pdf, code

PAST PROJECT

Video-based vibration measurement

Digital video is emerging as a powerful tool for measuring structural vibrations. While traditional sensors such as accelerators measure vibrations at discrete points, video measurements capture full-field vibration data, where each pixel is effectively a vibration sensor. Full-field measurements are extremely valuable for characterizing the dynamics of a structure, for example, to detect local structural damage.

This project developed video processing algorithms to extract vibration modes directly from digital video measurements. We integrated computer vision algorithms, which estimate displacements between video frames, with modal analysis techniques to present a new tool for video-based vibration characterization. Unlike Digital Image Correlation, surface preparation with speckle patterns is not required, which is appealing for micro-scale to city-scale full-field vibration measurements.

This project was in collaboration with Prof. Yongchao Yang at Michigan Tech as well as David Mascareñas and Chuck Farrar at Los Alamos National Lab. It was the winner of a R&D 100 award in 2018.

COLLABORATORS

Prof. Yongchao Yang, Michigan Tech
David Mascare
ñas, Los Alamos National Lab
Chuck Farrar, Los Alamos National Lab

SELECT PUBLICATIONS

C. Dorn, Y. Yang, "Automated modal identification by quantification of high-spatial-resolution response measurements" Mechanical Systems and Signal Processing, 2022. DOI


C. Dorn, S. Dasari, Y. Yang, P. Welch, G. Kenyon, C. Farrar, D. Mascareñas, "Efficient full-field vibration measurements and operational modal analysis using neuromorphic event-based imaging” Journal of Engineering Mechanics, 2018. DOI


Y. Yang, C. Dorn, T. Mancini, Z. Talken, G. Kenyon, C. Farrar, D. Mascareñas, “Blind identification of full-field vibration modes from video measurements with phase-based video motion magnification” Mechanical Systems and Signal Processing, 2017. DOI

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